Winifred K.

Key Skills

Software

Other

CVAT

Top Subject Matter

People data/document records quality assurance for structured submissions

Structured record accuracy checks and documentation support for data submissions

Top Data Types

Document

Image

Text

Top Task Types

Classification

Segmentation

Freelancer Overview

Image Classification Annotation Project (Object Detection + Segmentation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Data Specialist, University of California, San Francisco (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation and Entity (NER).

Labeling Experience

General Administrative / Customer Support Assistant (Girona data company) – verification and record organization

OtherDocumentClassification

As a General Administrative/Customer Support Assistant at a Girona data company, the work focused on accurate data entry, record-keeping, and document organization with quality verification before submission. The role required careful consistency checks and the ability to process high volumes of repetitive tasks without degrading quality. This experience aligns with dataset preparation through accuracy-focused review and documentation support. • Performed accurate data entry, record-keeping, and document organization. • Reviewed and verified information for accuracy and consistency before submission. • Handled high volumes of repetitive tasks while maintaining quality standards. • Communicated with team members and supervisors to ensure tasks met requirements.

2024 - Present

Text Sentiment & NLP Data Tagging Project

OtherText

Tagged and classified text samples by sentiment, intent, and topic for an NLP training dataset. Collaborated with a small remote team to resolve labeling discrepancies and maintain consistent annotation standards. Ensured labeled outputs matched the defined categories for downstream model training. • Labeled sentiment, intent, and topic categories for NLP data • Resolved annotation discrepancies with a remote team • Maintained consistent labeling guidelines across annotators • Produced structured tags for an NLP training dataset

2022 - 2024

Image Classification Annotation Project (Object Detection + Segmentation)

CVATImageSegmentation

Labeled and categorized thousands of images for an object detection dataset while maintaining over 98% accuracy against quality audits. Applied bounding boxes and segmentation labels according to project guidelines using CVAT and Label Studio. Performed quality control and consistency checks to ensure annotations met requirements. • Used CVAT for bounding boxes and segmentation annotation • Used Label Studio to apply segmentation labels • Maintained annotation accuracy above 98% per quality audits • Followed detailed project guidelines for consistent labeling

2022 - 2024

Data Specialist (People Data Lab) – accuracy verification and record organization

OtherDocumentClassification

As a Data Specialist at PEOPLE DATA LAB, the primary work involved verifying and organizing structured records and ensuring submissions met accuracy and consistency requirements. The role included quality checks prior to submission and handling repetitive high-volume review tasks. This work supported dataset and documentation readiness through disciplined labeling-adjacent verification and record accuracy procedures. • Reviewed and verified information for accuracy and consistency before submission. • Performed data entry, record-keeping, and document organization. • Handled high volumes of repetitive tasks while maintaining quality standards. • Communicated with team members and supervisors to ensure task requirements were met.

2022 - 2023

Education

Work History